![]() ![]() ![]() With this brief introduction to namedtuple and its general features, you can dive deeper into creating and using them in your code. Named tuples have the advantage that they provide a way to access their values using field names and the dot notation. In general, you can use namedtuple instances wherever you need a tuple-like object. Have similar memory consumption to regular tuples.Are backward compatible with regular tuples.Provide additional methods and attributes, such as.Provide a helpful string representation that prints the tuple content in a name=value format.Have a helpful docstring based on the type and field names.You’ll find these terms used with their corresponding meaning throughout the tutorial.īesides this main feature of named tuples, you’ll find out that they: The tuple subclass returned by namedtuple()Īn instance of a specific namedtuple class If you don’t have all the required knowledge before starting this tutorial, then that’s okay! You can stop and review the above resources as needed. Classes and object-oriented programming. ![]() You also need to know the basics of working with: To get the most out of this tutorial, you need to have a general understanding of Python’s philosophy related to writing Pythonic and readable code. Subclass a namedtuple to provide new features.Decide whether to use a namedtuple or a similar data structure.Use namedtuple instances to write Pythonic code.Identify and take advantage of cool features of namedtuple.Create namedtuple classes using namedtuple().In this tutorial, you’ll level up that skill using namedtuple. If you have some experience using Python, then you know that writing Pythonic code is a core skill for Python developers. With namedtuple(), you can create immutable sequence types that allow you to access their values using descriptive field names and the dot notation instead of unclear integer indices. Python’s collections module provides a factory function called namedtuple(), which is specially designed to make your code more Pythonic when you’re working with tuples. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |